Option Implied Volatility, Skewness, and Kurtosis and the Cross-Section of Expected Stock Returns

Turan G. Bali, Jianfeng Hu, Scott Murray
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引用次数: 75

Abstract

Motivated by the nature of asset pricing models, we investigate the cross-sectional relation between the market's ex-ante view of a stock's risk and the stock's ex-ante expected return. We demonstrate that an ex-ante measure of expected returns based on analyst price targets is highly related to the market's required rate of return. Using this measure, we show that ex-ante measures of volatility, skewness, and kurtosis derived from option prices are positively related to ex-ante expected returns. We then decompose the risk measures into systematic and unsystematic components and find that while expected returns are related to both systematic and unsystematic variance risk, only the unsystematic components of skewness and kurtosis are important for explaining the cross-section of expected stock returns. The results are consistent using two different approaches to measuring ex-ante risk and robust to controls for other variables related to stock returns and analyst bias.
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期权隐含波动率、偏度和峰度与股票预期收益的横截面
基于资产定价模型的本质,我们研究了市场对股票风险的事前预期与股票事前预期收益之间的横断面关系。我们证明了基于分析师价格目标的预期回报的事前度量与市场所需的回报率高度相关。使用这一措施,我们表明,波动率,偏度和峰度的事前度量源自期权价格是正相关的事前预期收益。然后,我们将风险度量分解为系统和非系统组件,并发现虽然预期收益与系统和非系统方差风险相关,但只有偏度和峰度的非系统组件对于解释预期股票收益的横截面很重要。结果是一致的,使用两种不同的方法来衡量事前风险,并对与股票回报和分析师偏见相关的其他变量进行稳健控制。
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